{"total":20,"rows":[{"id":"2105.14762","title":"Emotional Voice Conversion: Theory, Databases and ESD","created":"2021-05-31","cited_by_count":115,"area":null},{"id":"2208.05890","title":"Speech Synthesis with Mixed Emotions","created":"2022-08-11","cited_by_count":28,"area":null},{"id":"2207.09542","title":"Controllable Data Generation by Deep Learning: A Review","created":"2022-07-19","cited_by_count":20,"area":null},{"id":"2106.12896","title":"Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech","created":"2021-06-24","cited_by_count":14,"area":null},{"id":"2103.01002","title":"Machine learning on small size samples: A synthetic knowledge synthesis","created":"2021-03-01","cited_by_count":11,"area":null},{"id":"2204.10020","title":"Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation","created":"2022-04-21","cited_by_count":8,"area":null},{"id":"2409.16681","title":"Emotional Dimension Control in Language Model-Based Text-to-Speech: Spanning a Broad Spectrum of Human Emotions","created":"2024-09-25","cited_by_count":8,"area":null},{"id":"2412.07116","title":"A Review of Human Emotion Synthesis Based on Generative Technology","created":"2024-12-10","cited_by_count":7,"area":null},{"id":"2409.01217","title":"A multilingual training strategy for low resource Text to Speech","created":"2024-09-02","cited_by_count":3,"area":null},{"id":"2211.06160","title":"Semi-supervised learning for continuous emotional intensity controllable speech synthesis with disentangled representations","created":"2022-11-11","cited_by_count":2,"area":null},{"id":"2212.03558","title":"Low-Resource End-to-end Sanskrit TTS using Tacotron2, WaveGlow and Transfer Learning","created":"2022-12-07","cited_by_count":2,"area":null},{"id":"2307.02051","title":"Flowchase: a Mobile Application for Pronunciation Training","created":"2023-07-05","cited_by_count":2,"area":null},{"id":"2508.13028","title":"Integrating Feedback Loss from Bi-modal Sarcasm Detector for Sarcastic Speech Synthesis","created":"2025-08-18","cited_by_count":2,"area":null},{"id":"2203.09599","title":"Robotic Speech Synthesis: Perspectives on Interactions, Scenarios, and Ethics","created":"2022-03-17","cited_by_count":1,"area":null},{"id":"2310.04982","title":"Comparative Analysis of Transfer Learning in Deep Learning Text-to-Speech Models on a Few-Shot, Low-Resource, Customized Dataset","created":"2023-10-08","cited_by_count":1,"area":null},{"id":"2310.11541","title":"MUST&P-SRL: Multi-lingual and Unified Syllabification in Text and Phonetic Domains for Speech Representation Learning","created":"2023-10-17","cited_by_count":1,"area":null},{"id":"2311.01260","title":"Expressive TTS Driven by Natural Language Prompts Using Few Human Annotations","created":"2023-11-02","cited_by_count":1,"area":null},{"id":"2402.10941","title":"Text2Data: Low-Resource Data Generation with Textual Control","created":"2024-02-08","cited_by_count":1,"area":null},{"id":"2405.02124","title":"TIPAA-SSL: Text Independent Phone-to-Audio Alignment based on Self-Supervised Learning and Knowledge Transfer","created":"2024-05-03","cited_by_count":0,"area":null},{"id":"2606.31947","title":"LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish","created":"2026-06-30","cited_by_count":0,"area":null}],"next_cursor":null}